Senior Data Engineer

Careers that change lives start here. Medtronic is a global leader in healthcare technology with a Mission to alleviate pain, restore health, and extend life. Our 95,000 employees work across more than 150 countries to put patients first — developing innovative medical technologies that improve the lives of 72+ million patients each year. Your unique talents will help shape the future of healthcare while building a career grounded in purpose, growth, and impact. A Day in the Life We’re a high-performing Artificial Intelligence and Algorithm team based in Edinburgh, supporting both novel sensor research and the enhancement of mature, field-deployed products. Our team is part of the Acute Care and Monitoring (ACM) Operating Unit, headquartered in Lafayette, Colorado. ACM is committed to driving innovation and long-term growth through excellence in research and commercialization. We’re looking for a versatile and passionate Data Engineer  to join our cutting-edge R&D team. In this role, you’ll design, architect, and manage complex research data pipelines that drive innovation across multiple projects: from early-stage exploratory research to the development of world-class patient monitoring technologies. You’ll thrive in a fast-paced environment, contributing across the full data lifecycle and collaborating with cross-functional teams. Your broad technical expertise and hands-on approach will help shape the data infrastructure that powers our AI and algorithm development efforts. This role will be based in our Edinburgh office Primary Responsibilities: • Own the end-to-end data lifecycle, from clinical study data collection to clinical validation trials. • Design and manage scalable data infrastructure across clinical trials, sensor platforms, and HPC environments. • Maintain and optimize data storage, access, security, and backup systems. • Develop data manipulation, processing, and testing tools to ensure data quality and reliability. • Define and implement data architecture, engineering best practices, and standards across R&D. • Collaborate with AI engineers, researchers, and cross-functional teams to align data systems with project goals. • Enable reliable, efficient data usage for AI, machine learning, and signal processing applications. • Drive data architecture decisions and continuous improvements in a dynamic R&D environment. Required Qualifications: • Bachelor’s degree in Computer Science, Software Engineering, Engineering, Physics, Biomedical Engineering, or a related technical field. • Professional experience in data engineering, software engineering, or a related field. • Strong expertise in database architecture, design, and management. • Proven experience developing and maintaining ETL/ELT pipelines and scalable data workflows. • Strong proficiency in Python and SQL, or other relevant programming languages. • Experience with CI/CD pipelines, automation, and configuration management. Preferred Qualifications: • Experience in medical devices, sensor technologies, or algorithm development. • Understanding of signal processing techniques. • Familiarity with machine learning and artificial intelligence frameworks. • Exposure to computer vision and image processing. • Knowledge of healthcare industry standards and regulatory requirements. • Working proficiency in C++, C#, or MATLAB. Physical Job Requirements …